2 papers
cs.LG2026
Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
Xu Zhang, Peng Wang, Yichen Li +1
Time series data are prone to noise in various domains, and training samples may contain low-predictability patterns that deviate from the normal data distribution, leading to trai…
cs.LG2025
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
Yichen Li, Xiuying Wang, Wenchao Xu +4
Model-Heterogeneous Federated Learning (Hetero-FL) has attracted growing attention for its ability to aggregate knowledge from heterogeneous models while keeping private data local…